This AI agent is designed to simplify the web scraping process by allowing users to extract information from websites without any coding experience. It can gather data in real-time, stack it in a usable format, and integrate it with other tools for analysis or reporting. The agent focuses on ease of use, ensuring that anyone can set up data collection workflows swiftly, making it ideal for businesses and researchers looking for insights in a fraction of the time.

FormToo is designed to simplify online form creation for everyone. With its intuitive interface, users can create, customize, and deploy various types of forms quickly. The tool caters to individuals and organizations looking to gather information through surveys, feedback forms, registration forms, and more. Its drag-and-drop features and templates make the process seamless and efficient.

Makeform AI utilizes cutting-edge AI technology to assist users in creating, customizing, and analyzing forms with ease. The platform provides a user-friendly interface, allowing users to design forms tailored to their needs quickly. It also offers analytical tools for gauging form performance, responses, and other metrics, ensuring you gain insights for enhancing your forms. This integration of AI into form creation makes it a rapid and hassle-free experience, suitable for businesses, educators, and anyone in need of effective data collection methods.

FAgent offers a modular architecture for constructing AI agents, including environment abstractions, policy interfaces, and tool connectors. It supports integration with popular LLM services, implements memory management for context retention, and provides an observability layer for logging and monitoring agent actions. Developers can define custom tools and actions, orchestrate multi-step workflows, and run simulation-based evaluations. FAgent also includes plugins for data collection, performance metrics, and automated testing, making it suitable for research, prototyping, and production deployments of autonomous agents in various domains.

IRIS (Interactive Research Ideation System) is an AI-driven assistant that empowers researchers to rapidly prototype study ideas. Users input a research topic or domain, and IRIS produces tailored research questions, identifies key concepts, synthesizes relevant literature abstracts, and suggests experimental designs or methodological approaches. It organizes these insights into customizable workflows, supporting hypothesis development, data collection planning, and result interpretation frameworks. Through iterative chatting, IRIS refines outputs based on feedback, ensures alignment with research goals, and exports structured reports in formats like PDF, DOCX, or Markdown. By automating repetitive tasks and enhancing creative brainstorming, IRIS accelerates early-stage research across academia, R&D labs, and startups, fostering innovation and reducing time-to-insight.

Narafy is a personal knowledge app that leverages sophisticated AI to improve how you capture, store, and recall information. It's a tag-first notes app that allows you to interact with your notes using AI, making it easier to keep track of endless pieces of information. Ideal for individuals who want to stay organized and boost their productivity, Narafy offers core features like a web-clipper, note templates, and AI-powered interactions.

The O.A.T AI Crawler is a powerful tool that automates the data collection process from various online sources, including websites and social media. It enables users to extract insights and information at unparalleled speed, minimizing manual efforts. This tool is ideal for researchers, marketers, and data analysts who require quick access to large datasets. With user-friendly features and real-time data access, the O.A.T AI Crawler transforms how users interact with online information.

RAGApp is designed to simplify the entire RAG pipeline by providing out-of-the-box integrations with popular vector databases (FAISS, Pinecone, Chroma, Qdrant) and large language models (OpenAI, Anthropic, Hugging Face). It includes data ingestion tools to convert documents into embeddings, context-aware retrieval mechanisms for precise knowledge selection, and a built-in chat UI or REST API server for deployment. Developers can easily extend or replace any component—add custom preprocessors, integrate external APIs as tools, or swap LLM providers—while leveraging Docker and CLI tooling for rapid prototyping and production deployment.